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Issue 34, 2016
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Determination of serum protein content using cell phone image analysis

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Abstract

This paper presents a simple, fast and inexpensive way to measure serum protein content (albumin and total proteins) by integration of color images acquired with a cell phone camera and multiple linear regression (MLR). MLR models were built using the RGB-HSV image systems from the color changes induced by bromocresol green and Biuret methods on solutions containing albumin (0.24 to 5.03 g dL−1) and total proteins (0.25 to 8.20 g dL−1), respectively, acquired from a cell phone camera. These methods were adapted to a microscale analysis by using an ELISA 96-microwell plate of 250 μL as a reaction container, and subsequently were statistically validated. The RMSEP values obtained for albumin and total protein models were respectively equal to 0.28 and 0.12 g dL−1, and their precision was respectively equal to 6.16 and 4.85%. No statistical difference was observed at a confidence level of 95% between the protein concentration calculated by the proposed method and those found by the reference method, proving the reliability of the imaging method as an alternative approach for these assays.

Graphical abstract: Determination of serum protein content using cell phone image analysis

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Publication details

The article was received on 23 Jun 2016, accepted on 19 Jul 2016 and first published on 21 Jul 2016


Article type: Technical Note
DOI: 10.1039/C6AY01783E
Citation: Anal. Methods, 2016,8, 6458-6462

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    Determination of serum protein content using cell phone image analysis

    C. L. M. Morais, A. C. O. Neves, F. G. Menezes and K. M. G. Lima, Anal. Methods, 2016, 8, 6458
    DOI: 10.1039/C6AY01783E

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